Sequential Estimation of the Mean of a Negative Binomial Distribution.
Abstract
A sequential procedure is proposed to estimate the mean of a negative binomial distribution when the value of the exponent (k) is known. An approximation is obtained for the distribution of the estimate from which it may be shown that the precision amounts to having a predetermined coefficient of variation. The effect of imperfect information on k is investigated. Comparisons are made with other procedures including the variance-stabilizing logarithmic transformation. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 31, 1974
- Accession Number
- AD0785827
Entities
People
- Michael Binns
Organizations
- Stanford University